226 to 250 of 760 GitHub Jobs in London

API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001) GDPR, data residency, and DLP policies Azure DevOps, ARM/Bicep, or More ❯

practices - testing, deployment, and configuration as code. Experience developing containerised services and cloud-based data applications. Proficiency in Terraform or other IaC tools. Familiarity with CI/CD pipelines (GitHub Actions preferred). Excellent communicator - able to work closely with technical and business stakeholders. Nice-to-haves: Experience with Kubernetes , Airflow/Prefect , or data observability tools (Monte Carlo, Great More ❯

and SQL in production environments Proven track record developing data pipelines using Spark, BigQuery, and cloud tools (preferably Google Cloud) Familiarity with CI/CD and version control (git, GitHub, DevOps workflows) Experience with unit testing (e.g., pytest) and automated quality checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological More ❯

Familiarity with OpenAPI/Swagger , Postman , and developer documentation . Exposure to Infrastructure as Code (Bicep, Terraform, ARM) . Version control and CI/CD using Azure DevOps or GitHub . Bonus: Knowledge of biometric or identity-based solutions . Contract Details: Start: Immediate Duration: Approx. 3 months (with potential extension) Location: Remote (UK-based preferred) Rate: Competitive/Negotiable More ❯

Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects and working end-to-end What's in it for More ❯

Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects and working end-to-end What's in it for More ❯

Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects and working end-to-end What's in it for More ❯

of object-oriented programming, testing frameworks, and automation libraries. Pytest/Playwright test framework Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools. Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch). Proficient in Infrastructure as Code using Terraform to manage and provision More ❯

functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should More ❯

functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should More ❯

functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should More ❯

functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should More ❯

experience working with databases such as PostgreSQL, MySQL, or NoSQL alternatives Comfortable working with Docker for containerisation and deployment Familiar with modern CI/CD pipelines and tools like GitHub Actions, GitLab CI, or Jenkins Good understanding of Google Cloud Platform and services such as Cloud Run, Cloud SQL, and Pub/Sub Exposure to modern API technologies including GraphQL More ❯

experience working with databases such as PostgreSQL, MySQL, or NoSQL alternatives Comfortable working with Docker for containerisation and deployment Familiar with modern CI/CD pipelines and tools like GitHub Actions, GitLab CI, or Jenkins Good understanding of Google Cloud Platform and services such as Cloud Run, Cloud SQL, and Pub/Sub Exposure to modern API technologies including GraphQL More ❯

tools. If you’ve built and scaled similar systems, we’d love to hear from you. Next Steps Apply here or email us at jobs@inferity.ai with your CV, GitHub, or just a note on why this role excites you. More ❯

tools. If you’ve built and scaled similar systems, we’d love to hear from you. Next Steps Apply here or email us at jobs@inferity.ai with your CV, GitHub, or just a note on why this role excites you. More ❯

tools. If you’ve built and scaled similar systems, we’d love to hear from you. Next Steps Apply here or email us at jobs@inferity.ai with your CV, GitHub, or just a note on why this role excites you. More ❯

tools. If you’ve built and scaled similar systems, we’d love to hear from you. Next Steps Apply here or email us at jobs@inferity.ai with your CV, GitHub, or just a note on why this role excites you. More ❯

functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should More ❯

first features using Azure s cutting-edge ecosystem • Design scalable, cloud-native solutions with a collaborative, high-speed team • Code with precision in Python • Supercharge your dev flow using GitHub Copilot • Write code that s clean, tested, and production-ready - every time • Work in tight, iterative sprints where ideas turn into deployed solutions fast What you ll bring: • Expertise across More ❯

first features using Azure's cutting-edge ecosystem • Design scalable, cloud-native solutions with a collaborative, high-speed team • Code with precision in Python • Supercharge your dev flow using GitHub Copilot • Write code that's clean, tested, and production-ready - every time • Work in tight, iterative sprints where ideas turn into deployed solutions fast What you'll bring: • Expertise across More ❯

first features using Azure’s cutting-edge ecosystem • Design scalable, cloud-native solutions with a collaborative, high-speed team • Code with precision in Python • Supercharge your dev flow using GitHub Copilot • Write code that’s clean, tested, and production-ready - every time • Work in tight, iterative sprints where ideas turn into deployed solutions fast What you’ll bring: • Expertise across More ❯

first features using Azure’s cutting-edge ecosystem • Design scalable, cloud-native solutions with a collaborative, high-speed team • Code with precision in Python • Supercharge your dev flow using GitHub Copilot • Write code that’s clean, tested, and production-ready - every time • Work in tight, iterative sprints where ideas turn into deployed solutions fast What you’ll bring: • Expertise across More ❯

through intelligent, predictive, and personalized digital interactions.Some Technologies We Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating More ❯

and monitoring tools used to investigate issues • Experience with continuous integration, or ideally, continuous delivery • Strong familiarity with build tools (e.g. Maven) and version control tools (e.g. Git/Github) • Experience working in agile teams, following Scrum or Kanban, participating in regular ceremonies including stand-ups, planning, and retrospectives • Experience using project management and workflow tools (e.g. Jira) • Previous experience More ❯